Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

The study evaluates the added value generated by estimating dynamic demand matrices by
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …

The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …

The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …

This paper presents a novel approach to data-driven time-dependent origin–destination
(OD) estimation using a joint origin–destination-path choice formulation, inspired by the well …

Urban rail transit has become an indispensable mode in major cities worldwide regarding
the advantages of large capacity, high speed, punctuality, and environmental protection …

In this paper, the authors present a Two-Step approach that sequentially adjusts generation
and distribution values of the (dynamic) OD matrix. While the proposed methodology already …

This thesis proposes novel algorithms for the efficient online estimation of dynamic travel
demand in large-scale urban transport networks. Dynamic travel demand refers to the …

Large-scale traffic simulation models are a crucial tool for simulating and evaluating different
transport solutions, especially now that our mobility ecosystems are evolving at an …

This paper deals with the problem of estimating daily mobility flows using different sources of
data, and in particular from mobile devices, such as mobile phones and floating car data. We …